Fig. 1 | Scientific Reports

Fig. 1

From: A preliminary bioinformatic screen to identify SRI SMC2 PSIP1 TLE4 and MSX1 as potential diagnostic and prognostic markers of osteoarthritis

Fig. 1

Schematic presentation of research design. GSE179716 and GSE206848 datasets were analyzed to identify OA-related DEGs (142 upregulated and 319 downregulated) common for chondrocytes and synovium, supported by enrichment analysis. Next, DEGs from control chondrocytes and OA chondrocytes (obtained by TNF-related inflammation) from the GSE239343 dataset were compared to the obtained OA-related DEGs. Common DEGs patterns were then analyzed, and only genes that present dysregulated expression upon OA and regenerated level upon AD-MSC conditioned medium treatment were selected: SRI, SMC2, PSIP1, TLE4, and MSX1. Biological pathways enrichment of proteins encoded by chosen genes was analyzed using various bioinformatical tools and platforms. Finally, selected genes expression levels were validated in PBMCs using the GSE48556 dataset with PSIP1 and TLE4, presenting significant OA-predictive value. Image provided by Servier Medical Art (https://smart.servier.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

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